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Update app.py
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app.py
CHANGED
@@ -1,3 +1,99 @@
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# ... (previous code remains the same)
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# Combine Ethos description and attributes into a prompt
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import streamlit as st
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import requests
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from bs4 import BeautifulSoup
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import json
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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# Load model and tokenizer
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@st.cache_resource
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def load_model():
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model = AutoModelForSeq2SeqLM.from_pretrained("shreyanshjha0709/watch-description-generator")
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tokenizer = AutoTokenizer.from_pretrained("shreyanshjha0709/watch-description-generator")
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return model, tokenizer
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model, tokenizer = load_model()
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# Load the JSON file from a URL
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@st.cache_data
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def load_json_from_url(url):
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response = requests.get(url)
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return response.json()
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# Provide your JSON URL here
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json_url = "https://www.ethoswatches.com/feeds/holbox_ai.json"
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data = load_json_from_url(json_url)
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# Extract unique brands
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brands = sorted(list(set([item["brand"] for item in data])))
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# Function to scrape Ethos product description using the specified selector
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def scrape_ethos_description(product_link):
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try:
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response = requests.get(product_link)
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soup = BeautifulSoup(response.text, 'html.parser')
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# Target the specific selector to extract the description
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description = soup.select_one('#brand_collection > div > div.lHeight_100.spec_editorNotes > div > p:nth-child(5)')
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if description:
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return description.get_text(strip=True)
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else:
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return "No detailed description available from Ethos."
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except Exception as e:
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return f"Error fetching details from Ethos: {str(e)}"
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# Streamlit UI
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st.title("Watch Description Generator")
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# Select brand
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selected_brand = st.selectbox("Select a Brand", ["Select"] + brands)
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# Filter watches and SKUs by the selected brand
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if selected_brand != "Select":
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watches = [item["name"] for item in data if item["brand"] == selected_brand]
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skus = [item["sku"] for item in data if item["brand"] == selected_brand]
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selected_watch = st.selectbox("Select Watch Name (Optional)", ["Select"] + watches)
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selected_sku = st.selectbox("Select SKU (Optional)", ["Select"] + skus)
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# Get the selected watch data from the JSON
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watch_data = None
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if selected_watch != "Select":
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watch_data = next((item for item in data if item["name"] == selected_watch), None)
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elif selected_sku != "Select":
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watch_data = next((item for item in data if item["sku"] == selected_sku), None)
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if watch_data:
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# Display the image from the JSON
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image_url = watch_data.get("image", None)
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if image_url:
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st.image(image_url, caption=f"{watch_data['name']} Image")
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# Get the Ethos product link for web scraping
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product_link = watch_data.get("url", None)
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if product_link:
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st.write(f"Fetching details from: [Product Page]({product_link})")
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# Scrape Ethos product page for description
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ethos_description = scrape_ethos_description(product_link)
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st.write("### Ethos Product Description (Extracted)")
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st.write(ethos_description)
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else:
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st.warning("No Ethos link available for this SKU.")
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# Generate a watch description based on attributes and scraped content
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attributes = {
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"brand": watch_data["brand"],
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"name": watch_data.get("name", "Unknown Watch"),
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"sku": watch_data.get("sku", "Unknown SKU"),
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"features": watch_data.get("features", "Unknown Features"),
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"casesize": watch_data.get("casesize", "Unknown Case Size"),
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"movement": watch_data.get("movement", "Unknown Movement"),
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"gender": watch_data.get("gender", "Unknown Gender"),
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"water_resistance": watch_data.get("water_resistance", "Unknown Water Resistance"),
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"power_reserve": watch_data.get("power_reserve", "Unknown Power Reserve"),
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"dial_color": watch_data.get("dial_color", "Unknown Dial Color"),
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"strap_material": watch_data.get("strap_material", "Unknown Strap Material")
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}
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# ... (previous code remains the same)
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# Combine Ethos description and attributes into a prompt
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